The Titan Process® injects nutrients into a reservoir and induces certain targeted microbes to become oleophilic [oil loving] and attach themselves to oil droplets. The microbes then dislodge and uniquely break down the trapped oil within the pore spaces into smaller droplets which can be recovered more efficiently. This oleophilic activity is an entirely new direction in the field of microbial enhanced oil recovery (MEOR). This process is simple, efficient, inexpensive and 100% environmentally friendly.

The Titan Process uses indigenous microbes that have already adapted to their environment over millions of years. The Titan Process does not inject microbes into oil fields and only uses resident microbes. Problems and complex solutions to aid in the survival of injected microbes to deal with reservoir pressure, saline content and temperature are therefore not encountered.

With the Titan Process microbes are able to multiply by 100 – 1,000 times on specialized nutrients, and their small size helps them penetrate deep into the formation where they act to break up and mobilize previously trapped oil droplets, which have been left behind by both Secondary and Tertiary recovery methods because the oil droplets were 1) too large too pass through the pore throats (tiny openings in the sand/rock formation) of the reservoir, or 2) never contacted by the recovery method in the first place.

Ultimate Reservoir Performance

The Titan Process stimulates naturally occuring microbes within the oil reservoir in two ways, both of which increase oil production. First they dislodge and then uniquely break up droplets from the pore spaces within the rock matrix, which then become recoverable. Second, they also create a unique natural emulsion within high permeability thief zones (channels that divert water from pushing oil toward a production well). The emulsion blocks thief zones and allows for a more efficient waterflood.

The process is all natural, no harsh chemicals are used and there are no adverse effects in the reservoir. A single well test can be easily implemented to gain important performance predictability for an entire field.